V
Senior AI Engineer
Virtue America
5 hours ago
Full-time
On-site
Raleigh, North Carolina, United States
Location: Charlotte, NC / St. Louis, MO (Hybrid)
Duration: Long-Term
Job Description:
We are seeking a highly experienced Senior AI Engineer with strong expertise in Google Cloud Platform (GCP), AI/ML engineering, and enterprise architecture. The ideal candidate will have hands‑on experience developing and deploying scalable AI solutions using Python, NLP, Generative AI, LLMs, RAG, and Agentic AI.
Key Responsibilities:
Design, develop, and deploy AI/ML solutions using Python and GCP services.
Build and optimize Generative AI applications using LLMs, RAG architectures, and Agentic AI frameworks.
Develop NLP pipelines and intelligent enterprise AI applications.
Implement LLMOps/MLOps practices for model deployment, monitoring, evaluation, and lifecycle management.
Design scalable AI architectures using cloud-native services, APIs, and microservices.
Integrate AI solutions with enterprise data platforms and business applications.
Ensure security, scalability, performance, and governance across AI solutions.
Collaborate with cross-functional teams to define AI strategies and deliver production-ready solutions.
Required Qualifications:
Bachelor's degree or equivalent qualification in Computer Science, Information Technology, or a related field.
12+ years of experience in IT, AI/ML engineering, or related technical fields.
Strong hands‑on experience with
Google Cloud Platform (GCP)
and Python.
Expertise in AI/ML, NLP, Generative AI, LLMs, RAG, and Agentic AI.
Experience with enterprise AI architecture and production deployment.
Strong understanding of LLMOps/MLOps, model evaluation, and monitoring.
Good to Have:
Google BigQuery and Google Kubernetes Engine (GKE).
Vector search, embeddings, and vector databases.
Data engineering and distributed data processing.
Microservices and REST APIs.
IAM, cloud security, and governance.
Terraform, CI/CD pipelines, and infrastructure automation.
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Duration: Long-Term
Job Description:
We are seeking a highly experienced Senior AI Engineer with strong expertise in Google Cloud Platform (GCP), AI/ML engineering, and enterprise architecture. The ideal candidate will have hands‑on experience developing and deploying scalable AI solutions using Python, NLP, Generative AI, LLMs, RAG, and Agentic AI.
Key Responsibilities:
Design, develop, and deploy AI/ML solutions using Python and GCP services.
Build and optimize Generative AI applications using LLMs, RAG architectures, and Agentic AI frameworks.
Develop NLP pipelines and intelligent enterprise AI applications.
Implement LLMOps/MLOps practices for model deployment, monitoring, evaluation, and lifecycle management.
Design scalable AI architectures using cloud-native services, APIs, and microservices.
Integrate AI solutions with enterprise data platforms and business applications.
Ensure security, scalability, performance, and governance across AI solutions.
Collaborate with cross-functional teams to define AI strategies and deliver production-ready solutions.
Required Qualifications:
Bachelor's degree or equivalent qualification in Computer Science, Information Technology, or a related field.
12+ years of experience in IT, AI/ML engineering, or related technical fields.
Strong hands‑on experience with
Google Cloud Platform (GCP)
and Python.
Expertise in AI/ML, NLP, Generative AI, LLMs, RAG, and Agentic AI.
Experience with enterprise AI architecture and production deployment.
Strong understanding of LLMOps/MLOps, model evaluation, and monitoring.
Good to Have:
Google BigQuery and Google Kubernetes Engine (GKE).
Vector search, embeddings, and vector databases.
Data engineering and distributed data processing.
Microservices and REST APIs.
IAM, cloud security, and governance.
Terraform, CI/CD pipelines, and infrastructure automation.
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